Ben Radack 🏝️

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Ben Radack 🏝️

Ben Radack 🏝️

@benradack

Media buyer & creative strategist - I help brands lower their CPA with Facebook (Meta) ads

Los Angeles, CA Katılım Eylül 2020
596 Takip Edilen17.6K Takipçiler
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Ben Radack 🏝️
Ben Radack 🏝️@benradack·
I took over this account 2 days ago and dropped their CPA by 74%. All with a SUPER simple account structure & testing strategy Creative Testing - ABO → Went through their ad library (hundreds of ads) → Batch tested a ton of them across 5 different ad sets → Yes, Meta skipped a bunch, but it helped me find winners fast Scaling Campaign - Cost Cap CBO → Ad set 1: All historical winners from the account → Ad set 2: All proven winners from December testing - min spend limit That's it. What was broken: Their past team was hardly testing anything. All the spend was going to 1 ad that was extremely fatigued. The account had zero velocity. The fix: Simplify the account structure + increase testing velocity significantly. Sometimes the best strategy is just testing more and organizing better. You don't need 10 campaigns and complex structures. You need clean separation between testing and scaling, and you need to actually test. 2 days in, CPA dropped 74%.
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SenorSwaggle
SenorSwaggle@SenorSwaggle·
@benradack Cost caps are for pussies. If your funnel is dialed, HV every time
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Ben Radack 🏝️
Ben Radack 🏝️@benradack·
Recently switched a campaign from cost cap to max conversions. Almost a 30% bump in ROAS. It goes to show that relying on cost caps isn't always the best bet. Cost caps require the algo to be right. Meta is predicting who will cost less to convert and only targeting those people. But as we've all seen with how Meta allocates spend, it's not always right. It just isn't as smart as people make it out to be. It's smart. But if you fully rely on the algo to make every decision, you're going to miss out on conversions it didn't think were there. Sometimes taking the cap off and letting the campaign hunt freely is the unlock.
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Ben Radack 🏝️
Ben Radack 🏝️@benradack·
@EcomTable Could be where you're adding them. Same ad set and Meta might favor the new ones then it takes a few days to come back Or you're allocating too much budget to new tests relative to your total spend. I.e You spend $1k/day on Meta and you're allocating $400/day to creative tests
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Daniel ⛰️
Daniel ⛰️@thedanielokon·
Can confirm that this works. Also using manual bids with this..low key awesome hack.
Barry Hott ☄️@binghott

You can spend millions per month with literally 1 CBO. I know I'm gonna catch heat from the sweaty ABO fans and the ABO gurus everyone loves to glaze but... I'm mostly a CBO maxi now 😱 (Btw, stick around for the reasons CBO doesn't work too) Should you even listen to me? Welp. I've been doing this FB ad stuff for 18+ years (and still am in the weeds today so I don't lose touch). I've studied literally billions of dollars worth of ads. Annnnd I just love this stuff and love talking about it. Also, I used to be a huge ABO maxi. I get it! But things have changed and I adapted! Here's a real example from a brand I started working with in April: In March they were spending 6 figures across 9 separate campaigns. NINE! The full sweaty routine, trying and failing to media-buy their way to a million-dollar spending month. And those 9 campaigns were quietly competing against each other in the same auctions and fragmenting all the data. Last 30 days? Over $1.5M in spend through 1 CBO campaign, running on Incremental Attribution. And their cost per conversion actually dropped 5% while scaling. Fewer campaigns. More spend. Cheaper conversions. Annnnd, most importantly, every minute less wasted on sweaty media-buying baloney can be spent on the things that actually move the needle, and those benefits compound. The best thing a media buyer can do in 2026 and beyond is... Spend less time on media buying and Spend more time on anything else that matters to your (potential) customers and your business: creative, products, offers, copywriting, CRO, landing pages, etc. CBO helps you do that. Let me explain why. With CBO, you let the system do what it wants to do, and then you can study it, empathize with it, criticize it, and use your human context to modify it if/as necessary. Empathize with it because the system is trying to solve a problem you can't fully see. When you understand what it's actually optimizing toward, you stop fighting it and start steering it. Meta has more data about your ads than it reports, meaning it has more and better data than you do. Ever wonder why Meta spends more on stuff with a lower ROAS or higher CPA than others? That's either the breakdown effect or it's optimizing for something you can't see. (Or a combination of both) You can't see if or how any users have seen or interacted with any other ads before they click the link. But Meta can. In the age of advanced AI machine learning post-Andromeda Meta advertising, if you think the only thing that matters is the last ad a user clicked before they got to your site, or that only link clicks matter and no other on-Meta actions matter, then you're simply not living in reality. This is also why I run Incremental Attribution on that CBO. It tells Meta to optimize toward the conversions it actually drove, not every last-touch conversion it can take credit for. Better signal in, better optimization out. CBO plus human inputs via cost caps and/or budget mins and maxes is the way to go. Best of both worlds. This works best the more data you feed Meta, so you need a lower CPA and/or high spend. The more data the system has, the more I generally trust it. Consolidation = more data for Meta to optimize. The worse/less data that you give Meta or the more you fragment your account, the less you should trust it to optimize on your behalf effectively. Now, the honest part. CBO is not magic and it does have real weaknesses: 1. CBO optimizes to cost, not profit. Mix products with different margins in one campaign and it'll happily pour budget into cheap, low-value conversions. Feed it value signals or it'll work against you. (Or otherwise apply your own context via cost caps and budget controls) 2. Budget flows to whatever the system likes, so if you need guaranteed spend on a new product or geo, it'll fight you. (That's what the budget mins/maxes are for!) 3. Low-volume accounts don't give it enough to chew on. If you're not feeding it much, it can't optimize much. 4. It's scary and hard to move from a fragmented setup, especially if you've been using it for years. Consolidating resets learning. There's a real short-term cost while it re-figures things out. It's worth it, but don't panic on day 2. Soooo when is ABO still right? Lower-spend or lower conversion volume accounts, or any time you simply can't get good data into Meta. Or if you're optimizing for something without deeper data being sent at all like reach, brand awareness, or link clicks. ABO is also fine if you can mostly consolidate into as few campaigns and ad sets as possible, buuuut the reported data can still be misleading and cause a media buyer to optimize in the wrong direction. And look, I'm not saying this is the exact RIGHT/BEST way to run EVERY account or business. It's not. CBO is probably the easiest and smartest for most businesses, and it frees up a lot more time and resources to focus on the most important stuff. It helps that this business has basically one main product, so consolidating into a single campaign is clean and easy. No mixed margins, no ten SKUs fighting for budget. If your catalog is more complicated, your setup probably needs to be too. But if it can work for a business spending this kind of money, it might work for yours too. Just because you CAN over-optimize and manually control every little thing, doesn't mean you should. This CBO plan will never work for YOU if you: 1. Have zero trust in Meta (I'm not saying you should 100% trust Meta all the time. Please don't! Buuut you need to be able to trust it at least a little bit) 2. Don't care or understand that overlapping campaigns and ad sets impact each other 3. Think you have more/better data than Meta's system (you don't! Seriously, you don't! Click data only tells one part of a complicated journey) 4. Think you're smarter than Meta's system (you're not!) 5. Give Meta bad/wrong signals/data to optimize from 6. Refuse to believe that there are other bigger things to focus on more than media buying And here's the thing sooo many media buyers (and gurus!) don't want to hear or admit: they think their media buying is the reason it's all working. It usually isn't. It's the excellent creative, the strong offer, the dialed-in landing page, the actual product people want. The media buyer is often just along for the ride on top of a great machine, taking credit for the engine someone else built. The best media buyers I know are the first to admit this. Oh, and this post isn't a pitch. I'm not gating any of this behind a signup. I just want you to squeeze the best performance you possibly can out of your ads. But if you take one thing from all of this, take this: the biggest swings in your ad performance usually aren't coming from media buying at all. They're coming from your website and the world around it. A landing page change. A new product launch. A price update. A broken checkout. A competitor's promo. A holiday. A news cycle. That stuff moves your numbers way more than which campaign structure you picked. It's the entire reason I'm building URLLove.It Because most people are staring at their ad account hunting for an answer that actually changed on their website three days ago, and they never even noticed. TL;DR: Consolidate or die. Feed it good signal (Incremental Attribution helps). Steer with cost caps and budget mins/maxes instead of babysitting. Then go spend your time on creative and offers, and alllll the stuff that actually moves the business. If you run ABO and you're winning, or you think I've got any of this backwards, come at me. Reply, quote it, tear it apart. I'll take any and all of it. One fair ask though: if you've never actually run a full consolidation, all the way down to 1 or 2 campaigns, I'll still read your take, but know that I'm going to weight it differently than someone who's actually tried it and watched what happened. That's not me dodging the argument. It's the opposite. Go run it. Give Meta the data, give it a real shot, and then come tell me everything I got wrong. That's the feedback I want most, because that's the feedback that can actually change my mind. Opinions from the sideline are welcome. Opinions from the field are gold. And if any of you want to actually hash this out live, a space, a call, a recorded chat, whatever, I'm in. I'd love to sit across from someone who disagrees and see what I'm missing.

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Rok Hladnik
Rok Hladnik@rokhladnik·
The media buyer is becoming less of a button-clicker and more of a treasury manager. You’re allocating capital inside a controlled environment. The algorithm decides who sees what, when, and at what cost. Your job is to structure the game so the algorithm has better options.
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Ben Radack 🏝️
Ben Radack 🏝️@benradack·
@PhilKiel I do wonder if we want to go that far back though for most brands. Might be nice to have a winback window. Either way this should definetly be done for the segement definitinos
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Phil Kiel
Phil Kiel@PhilKiel·
Still seeing accounts that are only excluding Pixel Purchase audiences for the last 180 days. Meta increased the look back to 730 days in May 😵‍💫 The two most important things to do 👇 - update your existing Purchase audience to 730 days, don't make a new one. - check your Audience Segments and confirm this audience is selected for Existing Customers.
Phil Kiel@PhilKiel

Meta has increased Purchase audience retention from 6 months to 2 years. Testing with increased exclusions, unsure how much of an impact it will have because most accounts are already excluding all customers via email lists.

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Ben Radack 🏝️
Ben Radack 🏝️@benradack·
Last year I took over a $200k/mo account and dropped the CPA 47%. When I took over, every winner in the account was fatigued and nothing new had been found to replace them. Here's what I walked into: → 200+ ads in the account, only 20 launched in the last month → No testing strategy. Ads were dumped into ad sets and Meta was left to figure it out. → Old fatigued creative taking up all the spend → CPA well above breakeven So on day 1 I launched over 100 ads. → Batched around 30 per ad set by customer profile → 1 CBO, 3 ad sets: problem/solution, men, women → I organized them this way on purpose. If the men batch wins, I now know who my customer probably is. Next I squeezed what was already in the account. → Lowered the cost cap on the old campaign by 30%. It hardly spends now, but when it does the CPA is right. → Went through all the previously tested ads and forced spend into concepts that never got delivery → Old ads that hadn't run in months went into a fresh historical winners campaign The results: → CPA down 47% → Meta found winners in the batches within days → The account went from riding 3 fatigued ads to running on fresh creative with a real testing pipeline The account didn't need some genius structure. It needed creative volume and forced testing.
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Ben Radack 🏝️
Ben Radack 🏝️@benradack·
The Landing Page Bridge Campaign. Here's how it works. I test landing pages elsewhere and bring the winner into this campaign. It's the middle step between a $200/day test and my scaling campaign. Right now it has 3 ad sets: → 1 with the top performing ads in the account → 2 with newer batches of creative All of these ads point to the newly tested landing page. Why run it this way? Because during my LP test I found a winner, but that test only spent $200/day. I can't prove the page will hold at scale off that. So I'm not about to swap it onto my top scaling campaign and find out the hard way. Instead, I change out the landing page in this mid tier spending campaign first. If the page holds up here at real spend, it earns its way into the scaling campaign. If it doesn't, my top campaign never felt a thing. It's a way to ease into a new landing page strategy rather than risking it all on a $200/day test result.
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Adam Taylor
Adam Taylor@adamtaylorl·
I'll die on this hill: The founder who's most involved in their ad creative is usually the reason the account has plateaued. I’m talking about micromanaging details across your team and agencies. You've seen your own product so many times you've lost the ability to see it like a customer does. Your angles get narrower. Your hooks get more "on brand". And your win rate trends down. The fix is out of the way and letting a system run.
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Ben Radack 🏝️
Ben Radack 🏝️@benradack·
I honestly do both, depends on the account and what's worked for htem in the past. But for some reason I've seen this setup work really well too. I've seen accounts with 20 campaigns (crazy) that perform great. Then they consolidate down to a couple campaigns, which should be the "right" move, and performance drops. - personally i'd never run 20 but I saw this recently with someone I consult for Almost like you train the beast in one way of doing things and when you try something else it doesn't listen
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Barry Hott ☄️
Barry Hott ☄️@binghott·
Right, buuuut what if you just try turning off that ABO and instead run all of those in your CBO in the first place. A user can only see one ad at a time and Meta has to prioritize one over any other. Having multiple overlapping campaigns can cause this non-spend issue, especially if they have different targeting or settings. We can't see if/how/why, but any ad set that overlaps with another is being prioritized or deprioritized against the other ad sets.
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Ben Radack 🏝️
Ben Radack 🏝️@benradack·
Your ABO testing campaign can become your top spending campaign There's a great post from @binghott about scaling millions through 1 CBO, and he absolutely nailed it. What I do is nearly identical: CBO, cost caps, min and max spend limits as the guardrails. But there's one thing I'd add to the conversation. Some ads never survive the move to a scaling CBO. They win in testing, you duplicate them over, and Meta ignores them or they fall apart at higher spend. That doesn't mean the ad is dead. It means it works at a smaller size. So I scale those horizontally in my ABO. → Each winning ad set gets its budget bumped gradually. $100 to $200 to $400. → Once an ad set holds CPA, I stop pushing. Some cap at $300/day, some at $700, some at $1k+. → Whatever the ceiling is, I leave it there. Do this across 20-30 ad sets and the spend adds up fast. Each ad living at its natural budget, hitting its own pocket of the audience, none of them forced past where they work. That's how a "testing" campaign gets to $10k+/day. And often the best performing one in the account. CBO for the ads with real scale. ABO for the winners that need their own lane.
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Kit
Kit@kit_sats·
The biggest cost of a bad job isn’t the paycheck. It’s how long you stay.
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Ben Radack 🏝️
Ben Radack 🏝️@benradack·
@EcomUnfiltered Not at all. Check out Enhanced+ AOVS over $100. Tons of brands do this. If there's value in the bundle it works
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Dylan Uz
Dylan Uz@EcomUnfiltered·
@benradack your bundle bring the AOV to $50? gonna be hard to scale no?
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Ben Radack 🏝️ retweetledi
Ben Radack 🏝️
Ben Radack 🏝️@benradack·
I launched my own skincare brand last month and last night I changed the offer > Bundle discounts < Single purchase "30 day supply" - no discount Double purchase "60 day supply" - 15% off Triple purchase "90 day supply" - 20% off Notice how I frame it as the amount of days they get. This helps sell the idea of buying multiple. Obviously I can't flex those $100k/days you hear about on X And I'm only spending $100/day But this ist he first day I've broken a 3 ROAS and even though its only 4 purchases you can clearly see how the increase in AOV from the bundle purcahses has helped. Good lesson I thought worth sharing
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Zachary
Zachary@wolfsxblood24·
How the fuck did Quiznos collapse and Subway thrived?
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